Add to ORKGThis talk was given to the University of Alberta Department of Computing Science
Worst-case analysis has had many successes over the last few decades, and has been the tool of choic...
With the speed of current technological changes, computation models are evolving to become more inte...
The average-case analysis of numerical problems is the counterpart of the more traditional worst-cas...
This talk was given to the University of Alberta Department of Computing Science
This talk was given to the Georgia Southern University Department of Computer Science
Many algorithms perform very well in practice, but have a poor worst-case performance. The reason fo...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
This report documents the program and the outcomes of Dagstuhl Seminar 14372 "Analysis of Algorithms...
Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms t...
Analyzing the performance of algorithms in both the worst case and the average case are cornerstones...
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.Includes bi...
In a combinatorial optimization problem, when given an input instance, one seeks a feasible solution...
AbstractApproximation algorithms may be inevitable choice when it comes to the solution of difficult...
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. ...
Worst-case analysis has had many successes over the last few decades, and has been the tool of choic...
With the speed of current technological changes, computation models are evolving to become more inte...
The average-case analysis of numerical problems is the counterpart of the more traditional worst-cas...
This talk was given to the University of Alberta Department of Computing Science
This talk was given to the Georgia Southern University Department of Computer Science
Many algorithms perform very well in practice, but have a poor worst-case performance. The reason fo...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
This report documents the program and the outcomes of Dagstuhl Seminar 14372 "Analysis of Algorithms...
Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms t...
Analyzing the performance of algorithms in both the worst case and the average case are cornerstones...
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.Includes bi...
In a combinatorial optimization problem, when given an input instance, one seeks a feasible solution...
AbstractApproximation algorithms may be inevitable choice when it comes to the solution of difficult...
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. ...
Worst-case analysis has had many successes over the last few decades, and has been the tool of choic...
With the speed of current technological changes, computation models are evolving to become more inte...
The average-case analysis of numerical problems is the counterpart of the more traditional worst-cas...